Electromagnetic Data-Driven Approach to Realize the Best Microwave Absorption Characteristics of MXene-Based Nanocomposites

The polymer composite-based microwave absorption material is highly valued in stealth technology, military, wireless technology, self-powered devices, and telecommunication. In this work, microwave absorption characteristics of different compositions of polyaniline (PANI)-Ti3C2Tx MXene (a family of 2D material) hybrid loaded polyvinyl butyral (PVB), viz., the PVB-PANI-Ti3C2Tx MXene nanocomposite, are explored with an electromagnetic data-driven approach. The significance of the proposed electromagnetic data-driven approach is that, through this, the reflection loss (RL) characteristics (minimum RL value and RL <= -10 dB bandwidth) can be identified for any PANI-Ti3C2Tx MXene loading (wt %) to PVB and hence easily realize the optimal RL performance of the PVB-PANI-Ti3C2Tx MXene nanocomposite. Herein, based on the few experimental electromagnetic data of different wt % of PANI-Ti3C2Tx MXene loading in PVB, the electromagnetic response for compositions of 0.259.9 wt % were modeled, and a remarkable RL value of -59.5 dB in X-band (8.2-12.4 GHz) for 1.5 mm thickness was predicted for 23.5 wt % PANI-Ti3C2Tx MXene. The predicted RL matched with experimental data. This data-driven approach is generalizable for electromagnetic composites to better understand the RL characteristics.